Prediction of Anxiety and Memory State
Purpose
The purpose of this study is to look at how signals in the brain, body, and behavior relate to anxiety and memory function. This project seeks to develop the CAMERA (Context-Aware Multimodal Ecological Research and Assessment) platform, a state-of-the-art open multimodal hardware/software system for measuring human brain-behavior relationships. The R61 portion of the project is designed to develop the CAMERA platform, which will use multimodal, passive sensor data to predict anxiety-memory state in patients undergoing inpatient monitoring with intracranial electrodes for clinical epilepsy, as well as to build CAMERA's passive data framework and active data framework.
Conditions
- Anxiety
- Memory
- Epilepsy
Eligibility
- Eligible Ages
- Between 18 Years and 55 Years
- Eligible Genders
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- Patients must have known or suspected Temporal Lobe Epilepsy. - Native or proficient in speaking English or Spanish. - Stereoelectroencephalography (sEEG) cases: The implant plan must include hippocampal head, body, and tail electrodes either unilaterally or bilaterally. - 7th grade reading level (minimum level considered literate for adults)
Exclusion Criteria
- Hearing impaired (i.e., not corrected with a hearing aid) - Unable to read the newspaper at arm's length with corrective lenses. - Objective intellectual impairment (estimated IQ < 70) - Any history of Electroconvulsive Therapy or psychosis (except postictal psychosis for patients) - Psychotic disorder (lifetime) - Current Anxiety disorder, Major Depressive Disorder, or Bipolar Disorder - Neurodegenerative diseases, presence of widespread brain lesions, language problems (other than naming difficulty) - Medical conditions that could potentially affect cognitive performance (e.g., human immunodeficiency virus (HIV) infection, cancer with metastatic potential). - Acute renal failure or end-stage renal disease
Study Design
- Phase
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Prospective
Arm Groups
| Arm | Description | Assigned Intervention |
|---|---|---|
| CAMERA | Adult subjects with epilepsy will undergo noninvasive video Electroencephalography (EEG) and intracranial electrodes sampling the amygdala and hippocampus (unilateral or bilateral). A subset of subjects (n=10) will use the Context-Aware Multimodal Ecological Research and Assessment (CAMERA) platform for 2 weeks after discharge with a subset of modalities: physiologic wristband, smartphone phenotyping, ecological momentary assessment (EMA) surveys, and memory task. At unpredictable intervals, CAMERA will interrupt subjects with: (a) an audible alarm to elicit an acoustic startle response; (b) a self-reported anxiety state scale; and (c) a visuospatial memory task with threat interference. For example, participants will fill out a brief survey and play a video game several times each day and wear a wristband with sensors. |
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Recruiting Locations
More Details
- Status
- Recruiting
- Sponsor
- Columbia University
Detailed Description
CAMERA will record neural, physiological, behavioral, and environmental signals, as well as measurements from ecological momentary assessments (EMAs), to develop a continuous high-resolution prediction of a person's level of anxiety and cognitive performance. CAMERA will provide a significant advance over current methods for human behavioral measurement because it leverages the complementary features of multimodal data sources and combines them with interpretable machine learning to predict human behavior. A further distinctive aspect of CAMERA is that it incorporates context-aware, adaptive EMA, where the timing of assessments depends on the subject's physiology and behavior to improve response rates and model learning. In this study, CAMERA focuses on predicting anxiety state and concurrent memory performance, but the platform is flexible for use in various domains. Currently, it is challenging to study complex, longitudinal relationships between the brain, body, and environment in humans. Most existent tools do not allow the investigator to measure transient internal states or cognitive functions comprehensively or continuously. Instead the investigators typically rely on sparsely collected and constrained self-reports or experimental constructs, including EMA.
